Name
Abstract | ||
|---|---|---|
Cross-modality face recognition is an emerging topic due to the wide-spread usage of different sensors in day-to-day life applications. The development of face recognition systems relies greatly on existing databases for evaluation and obtaining training examples for data-hungry machine learning algorithms. However, currently, there is no publicly available face database that includes more than tw... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TPAMI.2018.2884458 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Face,Face recognition,Three-dimensional displays,Databases,Cameras,Image recognition | Modalities,Facial recognition system,Computer science,Recognition algorithm,Institutional research,Benchmarking,Database,Sketch | Journal |
Volume | Issue | ISSN |
42 | 3 | 0162-8828 |
Citations | PageRank | References |
6 | 0.43 | 50 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karen Panetta | 1 | 540 | 40.40 |
| Qianwen Wan | 2 | 6 | 1.11 |
| Sos S. Agaian | 3 | 744 | 83.01 |
| Srijith Rajeev | 4 | 6 | 1.78 |
| Shreyas Kamath | 5 | 6 | 0.43 |
| Rahul Rajendran | 6 | 6 | 1.44 |
| Shishir Rao | 7 | 6 | 0.43 |
| Aleksandra Kaszowska | 8 | 6 | 1.44 |
| Holly A. Taylor | 9 | 83 | 17.85 |
| Arash Samani | 10 | 15 | 1.74 |
| Xin Yuan | 11 | 6 | 0.43 |